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  • Book Overview & Buying The Official MongoDB Guide
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The Official MongoDB Guide

The Official MongoDB Guide

By : Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison Huh, Lander Kerbey, Maya Raman, Lauren Tran
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The Official MongoDB Guide

The Official MongoDB Guide

By: Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison Huh, Lander Kerbey, Maya Raman, Lauren Tran

Overview of this book

Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB’s top subject matter experts, so you learn proven best practices directly from those who know the technology inside out. This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively. Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search. By the end of this book, you’ll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology. *Email sign-up and proof of purchase required
Table of Contents (12 chapters)
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10
Other Books You May Enjoy
11
Index

Schema design

Designing an effective schema is crucial for optimizing your application’s performance and scalability. To design an effective schema, you first need to understand the data your application needs and how frequently it needs to access that data. This lets you design your schema so that data that is accessed together is stored together, which leads to efficient queries and optimal performance.

The process of designing a schema that best meets your application requirements consists of the following steps:

  1. Identify your application’s workload.
  2. Map relationships between your data entities.
  3. Apply schema design to improve application performance and reduce schema complexity.

By taking schema design seriously, you leverage MongoDB’s strengths while mitigating potential pitfalls that come from its flexible, non-relational structure. This results in a robust database that supports efficient application operation and development...

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The Official MongoDB Guide
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